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Machine Learning

6 Crucial Considerations for MLOps Success

Interest in AI / ML is exploding, but these new techniques and technologies present some unique challenges that can result in suboptimal results if not addressed correctly. Dysfunctional AI / ML efforts can [...]

Delivering on the Promise of AI / ML: The Emergence of MLOps

In a bygone age, we looked to the future and imagined a world driven by artificial intelligence and machine learning. Through the power of AI and ML, processes would become more efficient, business decisions made more intelligently, and deep analytical insights would be available at the touch of a button.

Google Cloud Applied ML Summit

Atos and Maven Wave are thrilled to be Signature Sponsors of the Google Cloud Applied ML Summit — a three-hour digital event where attendees can learn directly from Google Cloud and other ML professionals and [...]

Google Data Cloud Summit Recap: Unlocking the True Potential of Data

At this very moment, every single company is experiencing some kind of digital transformation. As Gerrit Kazmaier, GM and VP of Database, Data Analytics, and Looker at Google Cloud, explained during his keynote address at this year’s Data Cloud Summit, “to transform, we cannot apply technologies and architectures that are rooted in outdated paradigms.”

5 Critical Data Journey Challenges and How to Tackle Them

The business world is abuzz with the new insights and innovations made possible thanks to the emergence of new technologies like artificial intelligence (AI) and machine learning (ML) or cloud computing. These ultimately promise to increase the pace of new products and services and drive profitability through lower costs or higher revenue.

4 Top Challenges to Implementing Data Science Modernization

The emergence and growing capabilities of the public cloud have led to a revolution in new products, processes, and tools. Lower costs have supported an explosion in data, and new analytical capabilities have created an exponential increase in insights — just to name a few benefits.

The Case for Data Science Modernization: 6 Shortcomings of Legacy Solutions

In a recent white paper, The Inevitability of Data Science Modernization During the Machine Learning and AI Revolution, Maven Wave detailed how recent developments in data science modernization (DSM) are setting the foundation to support the transformative power of artificial intelligence (AI) and machine learning (ML).

Machine Learning Now Available in Google BigQuery

One of Google Cloud Platform’s most popular products, BigQuery, recently announced the addition of some exciting new functionality: the ability to create and execute machine learning (ML) models directly inside of the platform. [...]

10% or 10x? Consider the Exponential Option

We talk a lot about the digital age, the accelerating pace of change in business and the influx of innovation the world is seeing. New technologies engulf us: the cloud, machine learning, artificial [...]

Ask the Expert: Machine Learning

In the era of digital transformation, businesses are reporting machine learning (ML) their top business priority. Companies are rapidly beginning to rely on ML to streamline their processes, ultimately increasing efficiencies. While ML [...]

Right Message, Right Product, Right Time

To execute on innovative ideas, marketers need technology to make that possible. A modern data platform with powerful machine learning and visualization tools can make this vision a reality.

Machine Learning: The Future of UX

Machine Learning (ML) has recently become one of the most popular buzzwords, but artificial intelligence (AI) has been used across industries for years. For example, the tailored ads we see on our Facebook, Instagram, [...]

Ask The Expert: Data Analytics

In today’s market, data analytics play a large role in the success of an organization. Analyzing data leads organizations to uncover insights to make more intuitive business decisions. In the age of digital [...]